Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.

Responsibilities

1. Architecture & Development

Design, build, and optimize algorithm in Vertex ai.

Develop scalable data models, Algorithm supporting user 360 views, churn prediction, and recommendation engine inputs.

Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway.

Implement CI/CD for data pipelines using Git, dbt, and automated testing.

Define data quality checks and auditing pipelines for ingestion and transformation layers.

2. Leadership & Collaboration

Mentor and guide junior AI/ML engineers on data modeling, algorithm performance tuning.

Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake.

Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII).

Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications.

3. Performance & Scalability

Tune algorithm performance.

Establish data partitioning, clustering,



and materialized views for fast query execution.

Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight).

4. Governance & Best Practices

Establish and enforce naming conventions, data lineage, and metadata standards across schemas.

Lead code reviews, enforce documentation standards, and manage schema versioning.

Contribute to the company’s evolving data mesh and streaming architecture vision.

Qualification & Skills

5+ years of experience in AI/ML engineering, with

3+ years in Vertex.ai .

Strong SQL and Python skills, with proven experience building

ETL/ELT

at scale.

Deep understanding of algorithm

performance tuning ,

query optimization , and

warehouse orchestration .

Experience with

data pipeline orchestration

(Airflow, Prefect, dbt, or similar).

Solid understanding of

data modeling

(Kimball, Data Vault, or hybrid).

Proficiency in

Kafka ,

GCP , or

AWS

for real-time or batch ingestion.

Familiarity with

API-based data integration

and

microservice architectures .

Preferred

Experience lead

machine learning teams

or/and deploying

ML feature pipelines .

Background in

ad-tech, gaming, or e-commerce

recommendation systems.

Familiarity with

data contracts

and

feature stores

(Feast, Tecton, or custom-built).

Experience managing small data engineering teams and setting technical direction

Strong ownership and ability to work autonomously in a quick-paced environment.

Excellent cross-functional communication — can translate between engineering and business.

Hands-on problem solver who balances velocity with reliability.

Collaborative mentor who raises the bar for team quality and discipline

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📌 Lead AI/ML Engineer (Winnipeg)
🏢 Xsolla
📍 Winnipeg